{"id":"W3178671133","doi":"10.24908/pceea.vi0.14824","title":"GRADUATE ATTRIBUTE MANAGEMENT: MAPPING UNIVERSITY GENERIC ATTRIBUTES TO THOSE OF THE CANADIAN ENGINEERING ACCREDITATION BOARD","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Accreditation; Process (computing); Intersection (aeronautics); Exploratory research; Curriculum; Computer science; Engineering management; Engineering; Medical education; Psychology; Pedagogy; Sociology; Transport engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01588842,0.0005474438,0.0003866702,0.009901158,0.008405335,0.009935006,0.00229475,0.0006476809,0.003363505],"category_scores_gemma":[0.04069591,0.0004056064,0.0005338228,0.02141094,0.003851971,0.004075666,0.005624966,0.001787503,0.0005075664],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05835224,"about_ca_system_score_gemma":0.1226882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8815872,"about_ca_topic_score_gemma":0.9141293,"domain_scores_codex":[0.9889598,0.003742685,0.0004012273,0.001076473,0.004412061,0.001407892],"domain_scores_gemma":[0.9810739,0.002645373,0.001370711,0.001371115,0.01188333,0.001655535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001246586,0.000198701,0.1228153,0.00078674,0.0000509299,0.0002269611,0.1172042,0.003121521,0.002527089,0.08053783,0.02964936,0.6427568],"study_design_scores_gemma":[0.00003566421,0.0001511651,0.3949431,0.0008949473,0.0000709062,0.0001593144,0.2854574,0.0130043,0.003562249,0.03158139,0.2698826,0.0002569282],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5458537,0.001602251,0.1621502,0.01640548,0.0002945623,0.003675326,0.005579142,0.001263147,0.2631761],"genre_scores_gemma":[0.7957628,0.0009694615,0.1881984,0.0004828287,0.0000224086,0.001151454,0.002682821,0.0001892366,0.01054063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9416478,"threshold_uncertainty_score":0.423377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145885104781418,"score_gpt":0.1854024198253473,"score_spread":0.1708139093472055,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}